2015 - IEEE Fellow For contributions to wireless sensor networks and systems
2015 - ACM Fellow For contributions to sensor networks.
2013 - ACM Presidential Award Yunhao Liu, professor at Tsinghua University, is an active researcher and a member of the ACM China Council. He has spread the word and shared the value that ACM offers to China's vast computing community. As a result of his efforts, ACM membership in China has grown significantly. ACM is now a co-sponsor of the annual China National Computer Congress, China's largest event of its kind in the computer field. The gathering focused on green computing, system software, sensor network, information security, high-performance computing, mobile internet and intelligent terminals.
Real-time computing, Computer network, Wireless sensor network, Wireless and Distributed computing are his primary areas of study. His studies in Real-time computing integrate themes in fields like Tracking, Physical layer, Simulation, Embedded system and Channel state information. His Computer network research integrates issues from Scalability, Layer, The Internet and Identification.
His Wireless sensor network research is multidisciplinary, relying on both Key distribution in wireless sensor networks, Visual sensor network, Wireless network and Ranging. Yunhao Liu has researched Wireless in several fields, including Mobile radio, Software deployment, Mobile computing and Leverage. His study in Distributed computing is interdisciplinary in nature, drawing from both Overlay network, Wireless ad hoc network, Network topology, Node and Flooding.
Yunhao Liu spends much of his time researching Computer network, Wireless sensor network, Distributed computing, Real-time computing and Wireless. His Computer network research incorporates themes from Wireless ad hoc network, Scalability, Throughput and Wireless network. His research in Wireless sensor network intersects with topics in Energy consumption, Key distribution in wireless sensor networks, Mobile wireless sensor network, Node and Testbed.
His studies deal with areas such as Network topology, Overlay network, Topology and Flooding as well as Distributed computing. His work deals with themes such as Ranging, Efficient energy use, Embedded system and Simulation, which intersect with Real-time computing. His research ties Mobile computing and Wireless together.
His scientific interests lie mostly in Artificial intelligence, Real-time computing, Key, Computer vision and Wireless. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Interface. Yunhao Liu performs integrative Real-time computing and Doppler effect research in his work.
He combines subjects such as Telecommunications, Network packet and Big data with his study of Key. His Computer vision research focuses on subjects like Mobile device, which are linked to Match moving. His work in Wireless covers topics such as Crowdsourcing which are related to areas like Optimization problem.
His main research concerns Artificial intelligence, Real-time computing, Key, Computer vision and Robustness. Yunhao Liu has included themes like Data science and Code in his Artificial intelligence study. Yunhao Liu incorporates Real-time computing and Doppler effect in his studies.
His Key research is multidisciplinary, incorporating perspectives in Computer hardware, Leverage, Network packet, Throughput and Fingerprint. Wireless is closely connected to Embedded system in his research, which is encompassed under the umbrella topic of Inertial measurement unit. His Radio frequency research is multidisciplinary, incorporating elements of Computer security and Base station.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
LANDMARC: indoor location sensing using active RFID
Lionel M. Ni;Yunhao Liu;Yiu Cho Lau;Abhishek P. Patil.
Wireless Networks (2004)
Big Data: A Survey
Min Chen;Shiwen Mao;Yunhao Liu.
Mobile Networks and Applications (2014)
Locating in fingerprint space: wireless indoor localization with little human intervention
Zheng Yang;Chenshu Wu;Yunhao Liu.
acm/ieee international conference on mobile computing and networking (2012)
From RSSI to CSI: Indoor localization via channel response
Zheng Yang;Zimu Zhou;Yunhao Liu.
ACM Computing Surveys (2013)
Underground structure monitoring with wireless sensor networks
Mo Li;Yunhao Liu.
information processing in sensor networks (2007)
WILL: Wireless Indoor Localization without Site Survey
Chenshu Wu;Zheng Yang;Yunhao Liu;Wei Xi.
IEEE Transactions on Parallel and Distributed Systems (2013)
Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices
Lei Yang;Yekui Chen;Xiang-Yang Li;Chaowei Xiao.
acm/ieee international conference on mobile computing and networking (2014)
Underground coal mine monitoring with wireless sensor networks
Mo Li;Yunhao Liu.
ACM Transactions on Sensor Networks (2009)
Location, Localization, and Localizability
Yunhao Liu;Zheng Yang;Xiaoping Wang;Lirong Jian.
Journal of Computer Science and Technology (2010)
AnySee: Peer-to-Peer Live Streaming
X. Liao;H. Jin;Y. Liu;L. M. Ni.
ieee international conference computer and communications (2006)
ACM Transactions on Sensor Networks
(Impact Factor: 2.56)
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